GRADIENT ASCENT INDEPENDENT COMPONENT ANALYSIS ALGORITHM FOR TELECOMMUNICATION SIGNALS

Abstract

Independent Component Analysis (ICA) algorithm is normallused for un-mixing and feature extraction of the fixed input block lengths. In case of varying block lengths re-adjustment of the maximum number of iterations and the step size parameter is required. In this paper, we introduced an Adaptive Step size Gradient Ascent ICA (AS-GAICA) technique for varying block length that can also controls the maximum number of iterations adaptively. The per-formance of the proposed technique is compared with Fast-ICA and Optimum Block Adaptation ICA (OBAICA) for telecommunication signals. Simulation results show that the proposed scheme outperforms the Fast-ICA and OBAICA algorithms.